AI Literacy Fundamentals

Author:   Ben Jones ,  Alli Torban
Publisher:   Data Literacy Press
ISBN:  

9781960907073


Pages:   242
Publication Date:   31 March 2024
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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AI Literacy Fundamentals


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Author:   Ben Jones ,  Alli Torban
Publisher:   Data Literacy Press
Imprint:   Data Literacy Press
Dimensions:   Width: 15.20cm , Height: 1.30cm , Length: 22.90cm
Weight:   0.327kg
ISBN:  

9781960907073


ISBN 10:   1960907077
Pages:   242
Publication Date:   31 March 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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"""I can't think of a better written and more thoroughly researched introduction to the fundamental concepts of AI Literacy than Ben's wonderful book. I cannot recommend it enough. Read. Be inspired. Be ready for our changing world."" -James Wilson, author of Artificial Negligence"


Author Information

"Ben Jones is the Co-Founder and CEO of Data Literacy, LLC, a company that's on a mission to help people speak the language of data. He's also the author of Data Literacy Fundamentals, Learning to See Data, and Read, Write, Think Data. Ben teaches data visualization at the University of Washington's Foster School of Business. Alli Torban is a Senior Data Literacy Advocate at Data Literacy LLC, and author of the book ""Chart Spark: Harness your creativity in data communication to stand out and innovate."" Alli has more than 15 years of experience solving complex data challenges for government agencies, research institutes, and corporate clients. Alli possesses technical expertise in data communication and a demonstrated talent for combining data and design in an inclusive way, making her a highly effective information designer and trainer. She holds a Bachelor of Science degree in Mathematics with a specialization in Computational and Applied Mathematics from James Madison University (2008). She also earned a Graduate Certificate in Geospatial Intelligence from Pennsylvania State University (2013)."

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